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Last updated on 2022-10-18.

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Daniel R. Kick

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Publications

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

bioRxiv (Under-Review)

N/A

2022

  • Daniel R. Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Baris Alaca, Timothy M. Beissinger, David Ertl, Sherry Flint-Garcia, Joseph L. Gage, Candice N. Hirsch, Joseph E. Knoll, Natalia de Leon, Dayane C. Lima, Danilo Moreta, Maninder P. Singh, Teclemariam Weldekidan, Jacob D. Washburn

Timing dependent potentiation and depression of electrical synapses contributes to network stability in the crustacean cardiac ganglion

The Journal of Neuroscience

Code

2022

  • Daniel R. Kick and David J. Schulz

Molecular profiling of single neurons of known identity in two ganglia from the crab Cancer borealis

Proceedings of the National Academy of Sciences

Code

2019

  • Adam J. Northcutt1, Daniel R. Kick1, Adriane G. Otopalik, Benjamin M. Goetz, Rayna M. Harris, Joseph M. Santin, Hans A. Hofmann, Eve Marder, and David J. Schulz

Cell Communication: Studying gap junctions with PARIS

eLife

N/A

2019

  • Daniel R Kick, David J Schulz

Dopamine maintains network synchrony via direct modulation of gap junctions in the crustacean cardiac ganglion

eLife

N/A

2018

  • Brian J Lane, Daniel R Kick, David K Wilson, Satish S Nair, David J Schulz

Motor Systems: Variability in neural networks

eLife

N/A

2018

  • Daniel R Kick, David J Schulz

The Hillary Climber trumps manual testing: an automatic system for studying Drosophila climbing

The Journal of Neurogenetics

N/A

2016

  • Alex M. Willenbrink, Margo K. Gronauer, Leon F. Toebben, Daniel R. Kick, Madalyn Wells & Bing Zhang
  • Journal of Neurogenetics

Industry Experience

I have had the opportunity of researching diverse systems and question but connecting these has been a focus developing or applying physical or computational tools and approaches to collect better data or make better use of collected data regardless of whether it is being used to answer questions of cell identity and compensation or interactions between genetic and environmental factors. As a graduate researcher I gained experience with machine learning, statistics, and data analysis. I also had the opportunity to receive training in bioinformatics. In just over a year as a post-doc I have gained experience manipulating genomic data, curating large datasets, interacting with high performance computing, and optimizing deep neural networks

Research Geneticist

Jacob Washburn Lab

USDA-ARS

2021

  • Improved yield prediction of maize in diverse environments by using deep learning to better capture gene by environment effects. Conducted research and wrote manuscript on results. Communciated results to stakeholders through local and national presentations. Supervised undergraduate high throughput phenotyping project and assisted with related coding needs.




Education

PhD. Biological Sciences

University of Missouri

Columbia, MO

2021 - 2015

  • Coursework included Machine Learning Methods for Biomedical Informatics, Quantitative Methods in the Life Sciences, and Grant Writing

Bachelor of Science

Truman State University

Kirksville, MO

2015 - 2011

  • Coursework included Next Generation Sequence Data and Analysis, Bioinformatics, Analysis of Variance and Experimental Design, Non-Parametric Statistics, and Economic & Medicinal Botany

Research Experience

Graduate Student

David Schulz Lab

Missouri State University

2021 - 2016

  • Assessed the efficacy of machine learning models to recapitulate neural cell identity from mRNA expression 1. Demonstrated that activity desynchronization induces degree dependent changes in conductance between neurons 2. Investigated the compensatory effects of elevated depolarization on neuronal excitability, conductances, and ion channel mRNA abundances in small neural networks 3.

Graduate Student Rotation

Loren Milescu Lab

Missouri State University

2015

  • Developed a protocol for live imaging neurons in Drosophila melanogaster with a two-photon microscope.

Graduate Student Rotation

Bing Zhang Lab

Missouri State University

2015

  • Designed a machine to assay Drosophila climbing (used in Willenbrink et al. 2016) and quantified sleep patterns of Drosophila tyrosine hydroxylase mutants

Undergraduate Researcher

Diane Janick-Buckner, Brent Buckner Lab

Truman State University

2014

  • Designed and prototyped a hydroponic growth chamber for maize root phenotyping.

NSF REU Student

Rahul Kanadia Lab

University of Conneticut

2014

  • Measured minor spliceosome upregulation using in situ hybridization supporting a role in postponing retinal cell death.

NSF REU Student

Christian Lorson Lab

Missouri State University

2013

  • Assessed motor function in mouse model of spinal muscular atrophy with and without oligonucleotide treatment.

Student Assistant

Laszlo Kovacs Laboratory

Missouri State University

2011

  • Tested teaching experiments for use in a genetics course.

Teaching Experience

As a teaching assistant I took on curriculum design and leadership roles in addition to teaching. In process of overhauling the statistical methods used in this lab I programmed and deployed a statistical application for students to analyze their data with. A demonstration copy is available at danielkick.shinyapps.io/BioSc3700_1/. Later, I coordinated the necessary curriculum adjustments to allow animal physiology to be taught remotely and adhere to the University of Missouri’s COVID-19 policies. In my final semester I trained my replacement (Benton Berigan, PhD) for this role. Additionally, I have had the opportunity to mentor and work alongside five students, training them in microdissection, electrophysiology, experimental design, and data analysis.

Lead Teaching Assistant, Animal Physiology Lab

Biological Sciences

University of Missouri

2021 - 2020

  • Coordinated adaptation and expansion of lab material to be fully online due to Covid-19. Developed and deployed a statistics web application used by a minimum 705 students as of 2021 source , deployed. Includes capability for visualization, testing model assumptions, frequentist models, non-parametric tests, basic Bayesian models.

Teaching Assistant, Animal Physiology Lab

Biological Sciences

University of Missouri

2020 - 2018

  • Tested additional curriculum alterations, tested grade distrubutions to identify and adjust for grader effects.

Curriculum Consultant, Animal Physiology Lab

Biological Sciences

University of Missouri

2018 - 2018

  • Updated curriculum and redesigned experiments placing a greater focus primary literature and data analysis.

Teaching Assistant, Animal Physiology Lab

Biological Sciences

University of Missouri

2016 - 2015

  • Provided weekly lectures on relevant background, ensured experiments were conducted safely, provided timely feedback on assignments.

Honors and Awards

Poster Ranked first in MU Plant Research Symposium poster competition

N/A

N/A

2022

J. Perry Gustafson Award for Outstanding Graduate Research in the Life Sciences

N/A

N/A

2019

  • $2,000

NIH T32 Training Grant Recipient

N/A

N/A

2018 - 2016

  • $27,000 yearly stipend

NIH T32 Travel Award (x2)

N/A

N/A

2017 - 2016

  • $750, each

Cum Laude, Truman State University

N/A

N/A

2015

President’s Recognition, Truman State University

N/A

N/A

2015

Professional Activities

Data Carpentries (Helper)

Workshop Assistant; Data Management with SQL

University of Missouri, Columbia

2022

Panel Member, Next-Generation Omics, Biological Sciences Divisional Retreat

Panel Member; Next-Generation Omics, Biological Sciences Divisional Retreat

University of Missouri Division of Biological Sciences Retreat

2022

  • Ruthie Angelovici, David J Schulz, Daniel R Kick, and Mannie Liscum

Workshop Instructor, creator; Tools and Techniques for a Jupyter Based Scientific Workflow

N/A

University of Missouri Bioinformatics in Plant Science (BIPS) 1 2

2022

  • Daniel R Kick*

Society for Neuroscience

N/A

N/A

2019 - 2016

Scientific Poster Judge

Spring Undergraduate Research and Creative Achievements Forum

University of Missouri Bioinformatics in Plant Science (BIPS)

2016

Professional Development

MU-Bayer Mentoring Program (mentee)

N/A

N/A

2022

Software Carpentry: Python, University of Missouri

N/A

N/A

2020

Diversity & Inclusion Workshop, University of Missouri

N/A

N/A

2017

Big Data in Biology, University of Austin

N/A

N/A

2016

Mentoring

Madi Mitchell

Undergraduate

N/A

2022

Grace Sidberry

Undergraduate

N/A

2022 - 2021

Mia Rupel

Undergraduate

N/A

2022 - 2021

Brady Bradford

Undergraduate

N/A

2021

Abby Beckerdite

Undergraduate

N/A

2019 - 2016

Ayla Ross

NSF REU

N/A

2019

Katlyn Sullivan

NSF REU

N/A

2018

Kelly Hiersche

NSF REU

N/A

2017

Rody Kingston

Post-baccalaureate Scholar

N/A

2016

Presentations (National)

Yield Prediction Accuracy is Improved Through Incorporating Genetic, Environmental, and Management Interactions with Deep Learning,

Columbia MO

University of Missouri Interdisciplinary Plant Group Symposium

2022

  • Daniel R Kick*, Jacob D. Washburn (2022)
  • Presentation

Effects of blockade of K+ currents on membrane conductance and channel expression at 1 hour and 24 hours in motor neurons of the cardiac ganglion.

Virtual

Dynamic Neural Networks: The Stomatogastric Nervous System

2020

  • Daniel R Kick*, Brian J. Lane, David J Schulz.
  • Presentation

Loss of synchronous activity across gap junctions results in a phase-dependent change in coupling conductance magnitude.

Chicago IL

Neuroscience

2019

  • Daniel R Kick*, David J Schulz.
  • Poster

Asynchronous voltage activity regulates electrical synapse plasticity.

Chicago IL

Dynamic Neural Networks: The Stomatogastric Nervous System

2019

  • Daniel R Kick*, David J Schulz.
  • Presentation

Variability from mRNAs to network output in the C. borealis cardiac ganglion.

Washington D.C

Dynamic Neural Networks: The Stomatogastric Nervous System

2017

  • Daniel R Kick*, David J Schulz.
  • Presentation

Variation across network output, excitatory post synaptic potentials, ionic conductances, and ion channel and receptor mRNAs within motor neurons of the crustacean cardiac ganglion.

Washington D.C.

Neuroscience

2017

  • Daniel R Kick*, Brian J Lane, Joseph L Ransdell, Satish S Nair, David J Schulz.
  • Poster

What crustaceans can teach us about the workings of the nervous system.

Columbia MO

Animal Behavior Society

2016

  • Virginia Garcia, Daniel R Kick*, Cindy Kyi, Brian J Lane, Kwasi M Lett, Adam J Northcutt, Joseph L Ransdell, Simone Temporal, and David J Schulz.
  • Poster

Presentations (Local)

Maize Yield Prediction is Improved by using Deep Learning to Incorporate Interactions between Genetic, Environmental, and Management Factors.

Virtual

USDA-ARS AgriCulture Series

2022

  • Daniel R Kick*, Jacob D Washburn

Maize Yield Prediction is Improved by Modeling Interactions between Genetic, Environmental, and Management Factors with Deep Learning

Columbia MO

Interdisciplinary Plant Group Seminar “Plant Talks”

2022

  • Daniel R Kick*, Jacob D Washburn
  • Presentation

Yield Prediction Through Integration of Genetic, Environment, and Management Data by Deep Learning

Columbia MO

University of Missouri MU Plant Research Symposium

2022

  • Daniel R Kick*, Jacob D Washburn
  • Poster
  • Ranked first in poster competition

Classifying neurons from molecular data

Columbia MO

University of Missouri DataPhiles

2019

Voltage Dependent Modification of Electrical Synapses and Ionic Conductances

Columbia MO

University of Missouri-Columbia Life Sciences Week

2018

  • Daniel R Kick*, David J Schulz
  • Poster

The Cancer borealis Cardiac Ganglion: a Window into Variability and Activity Dependent Regulation

Columbia MO

NIH-T32 progress seminar

2017

  • Daniel R Kick*, David J Schulz
  • Presentation

Upregulation of the Minor Spliceosome in Mouse Retinae due to Zaprinast Exposure

Kirksville MO

Truman State University Student Research Conference

2015

  • Daniel R Kick*, Marybeth Baumgartner, Christopher Lemoine, Devi Krishna Priya Karunakaran, Nikita Sturrock, Amye Black, Rahul Kanadia
  • Poster

Upregulation of the Minor Spliceosome in Mouse Retinae due to Zaprinast Exposure

Storrs CT

University of Connecticut Summer Undergraduate Research Conference

2014

  • Daniel R Kick*, Marybeth Baumgartner, Christopher Lemoine, Devi Krishna Priya Karunakaran, Nikita Sturrock, Amye Black, Rahul Kanadia
  • Poster

Effective Gene Therapy in Spinal Muscular Atrophy: Utilizing Antisense Oligonucleotides Targeting Intronic Repressor Element1

Columbia MO

University of Missouri Summer Undergraduate Research Conference

2013

  • Daniel R Kick*, Eric Osman, Christian Lorson
  • Poster

Presentations (Outreach)

From Neurobiologist to Research Geneticist

Virtual

Beyond the PhD (beyond-the-phd.com)

2022

  • Daniel R Kick*
  • Presentation

Spare the synapse, spoil the circuit, Public presentation

Columbia MO

Science on Tap

2019

  • Daniel R Kick*
  • Presentation

Can mRNA expression recapitulate neuron cell types

Kirksville MO

Truman State University Alumni Research Presentation

2019

  • Daniel R Kick*
  • Presentation

Voltage Dependent modification of Electrical Synapses

Columbia MO

University of Missouri Biological Sciences Recruitment

2019

  • Daniel R Kick*
  • Poster

Gap Junction Conductance Modulation Via Voltage

Kirksville MO

Truman State University Alumni Research Presentation

2018

  • Daniel R Kick*
  • Presentation

Please mind the gap: Network homeostatic plasticity in the Cancer borealis cardiac ganglion

Kirksville MO

Truman State University Alumni Research Presentation

2017

  • Daniel R Kick*
  • Presentation

The Tell-Tale Heart: Applying crustacean neurogenic hearts to basic neurosciences questions

Kirksville MO

Truman State University Alumni Research Presentation

2016

  • Daniel R Kick*
  • Presentation